Open AccessCCTV High-Speed Analysis Algorithm for Real-time Monitoring of Building Access
Author(s) -
Seungun Chae,
Kwon Hyun-Song,
Park Sung-Ryong,
Cho Wan-Ho,
OhSung Kwon,
JaeSung Lee
Publication year - 2020
Publication title -
journal of the korean society of hazard mitigation/han'gug bangjae haghoe nonmunjib
Language(s) - English
Resource type - Journals
eISSN - 2287-6723
pISSN - 1738-2424
DOI - 10.9798/kosham.2020.20.2.113
Subject(s) - computer science , frame (networking) , pyramid (geometry) , layer (electronics) , frame rate , real time computing , field (mathematics) , artificial intelligence , computer vision , computer network , chemistry , physics , mathematics , organic chemistry , pure mathematics , optics
The most important information required to help people escape from disasters such as fires is knowing the number of people that are trapped in the building and their mobility situation. For this purpose, CCTV can be installed and used at entrances, but they do not need to rely on visual monitoring. This paper describes the system of automatically detecting access personnel information from video frame images collected from the CCTV in real time. We propose to improve the region growing method commonly used in the digital image processing field without the degradation of the recognition rate. The proposed method is based on a pyramid-type hierarchical area structure, and is designed to compress the resolution of the top layer to 1/16 of the bottom layer. In this hierarchical structure, the top layer is a casting that primarily serves as a trigger to decide whether to proceed with further analysis and, if necessary, a lower level analysis. In addition, CPU consumption time was reduced by ensuring that only areas related to the high-level triggered areas are processed at the lower-level layers. As a result of the experiment, the proposed layer area analysis method was able to reduce the execution time to 13.96% and the overall processing time to 69.92% over the existing one-layer analysis method.